Pandas Profiling Report

Dataset statistics

Number of variables	21
Number of observations	4647
Missing cells	542
Missing cells (%)	0.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.7 MiB
Average record size in memory	615.0 B

Variable types

Categorical	5
Numeric	15
Boolean	1

Alerts

`specialization` has a high cardinality: 358 distinct values	High cardinality
`specialization_en` has a high cardinality: 172 distinct values	High cardinality
`city` has a high cardinality: 807 distinct values	High cardinality
`specialization_id` is highly overall correlated with `country_code` and 1 other fields	High correlation
`city_id` is highly overall correlated with `country_code` and 1 other fields	High correlation
`fc_price` is highly overall correlated with `avg_price`	High correlation
`first_class_profiles` is highly overall correlated with `first_class_goal` and 1 other fields	High correlation
`eligible_slots` is highly overall correlated with `premium` and 6 other fields	High correlation
`premium` is highly overall correlated with `eligible_slots` and 6 other fields	High correlation
`first_class_goal` is highly overall correlated with `first_class_profiles` and 5 other fields	High correlation
`available_slots` is highly overall correlated with `eligible_slots` and 2 other fields	High correlation
`traffic_x` is highly overall correlated with `user_bookings`	High correlation
`bookable_hours_month` is highly overall correlated with `eligible_slots` and 4 other fields	High correlation
`active_calendars` is highly overall correlated with `first_class_profiles` and 6 other fields	High correlation
`avg_price` is highly overall correlated with `fc_price`	High correlation
`admin_bookings` is highly overall correlated with `eligible_slots` and 4 other fields	High correlation
`user_bookings` is highly overall correlated with `eligible_slots` and 6 other fields	High correlation
`country_code` is highly overall correlated with `specialization_id` and 2 other fields	High correlation
`first_class_limit` is highly overall correlated with `specialization_id` and 2 other fields	High correlation
`median_active_months` has 542 (11.7%) missing values	Missing
`first_class_profiles` has 542 (11.7%) zeros	Zeros
`eligible_slots` has 81 (1.7%) zeros	Zeros
`available_slots` has 3180 (68.4%) zeros	Zeros
`median_active_months` has 199 (4.3%) zeros	Zeros
`traffic_x` has 48 (1.0%) zeros	Zeros
`bookable_hours_month` has 685 (14.7%) zeros	Zeros
`active_calendars` has 663 (14.3%) zeros	Zeros
`avg_price` has 827 (17.8%) zeros	Zeros
`admin_bookings` has 785 (16.9%) zeros	Zeros
`user_bookings` has 648 (13.9%) zeros	Zeros

Reproduction

Analysis started	2023-09-21 18:03:00.861740
Analysis finished	2023-09-21 18:06:51.241649
Duration	3 minutes and 50.38 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

country_code
Categorical

Distinct	9
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	304.1 KiB

mx	1482
br	1038
pl	648
it	600
es	341
Other values (4)	538

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	9294
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ar
2nd row	ar
3rd row	ar
4th row	ar
5th row	ar

Common Values

Value	Count	Frequency (%)
mx	1482	31.9%
br	1038	22.3%
pl	648	13.9%
it	600	12.9%
es	341	7.3%
de	187	4.0%
co	129	2.8%
cl	121	2.6%
ar	101	2.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mx	1482	31.9%
br	1038	22.3%
pl	648	13.9%
it	600	12.9%
es	341	7.3%
de	187	4.0%
co	129	2.8%
cl	121	2.6%
ar	101	2.2%

Most occurring characters

Value	Count	Frequency (%)
m	1482	15.9%
x	1482	15.9%
r	1139	12.3%
b	1038	11.2%
l	769	8.3%
p	648	7.0%
i	600	6.5%
t	600	6.5%
e	528	5.7%
s	341	3.7%
Other values (4)	667	7.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9294	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	1482	15.9%
x	1482	15.9%
r	1139	12.3%
b	1038	11.2%
l	769	8.3%
p	648	7.0%
i	600	6.5%
t	600	6.5%
e	528	5.7%
s	341	3.7%
Other values (4)	667	7.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9294	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	1482	15.9%
x	1482	15.9%
r	1139	12.3%
b	1038	11.2%
l	769	8.3%
p	648	7.0%
i	600	6.5%
t	600	6.5%
e	528	5.7%
s	341	3.7%
Other values (4)	667	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9294	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	1482	15.9%
x	1482	15.9%
r	1139	12.3%
b	1038	11.2%
l	769	8.3%
p	648	7.0%
i	600	6.5%
t	600	6.5%
e	528	5.7%
s	341	3.7%
Other values (4)	667	7.2%

specialization_id
Real number (ℝ)

Distinct	157
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	58.637831

Minimum	1
Maximum	191
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	1
5-th percentile	8
Q1	30
median	60
Q3	78
95-th percentile	125
Maximum	191
Range	190
Interquartile range (IQR)	48

Descriptive statistics

Standard deviation	35.303327
Coefficient of variation (CV)	0.60205718
Kurtosis	0.62022034
Mean	58.637831
Median Absolute Deviation (MAD)	24
Skewness	0.69417506
Sum	272490
Variance	1246.3249
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
76	171	3.7%
78	169	3.6%
12	145	3.1%
60	145	3.1%
93	135	2.9%
63	123	2.6%
64	110	2.4%
30	107	2.3%
69	100	2.2%
71	90	1.9%
Other values (147)	3352	72.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	8	0.2%
2	34	0.7%
3	5	0.1%
4	13	0.3%
5	32	0.7%
6	21	0.5%
7	76	1.6%
8	48	1.0%
9	3	0.1%
10	38	0.8%

Value	Count	Frequency (%)
191	2	< 0.1%
190	2	< 0.1%
184	3	0.1%
182	1	< 0.1%
180	5	0.1%
177	1	< 0.1%
176	6	0.1%
175	1	< 0.1%
174	2	< 0.1%
172	1	< 0.1%

city_id
Real number (ℝ)

Distinct	762
Distinct (%)	16.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3303.1364

Minimum	4
Maximum	31887
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	4
5-th percentile	82
Q1	420
median	1057
Q3	3112
95-th percentile	18417
Maximum	31887
Range	31883
Interquartile range (IQR)	2692

Descriptive statistics

Standard deviation	5940.6844
Coefficient of variation (CV)	1.7984981
Kurtosis	7.7110262
Mean	3303.1364
Median Absolute Deviation (MAD)	802
Skewness	2.8496111
Sum	15349675
Variance	35291732
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1610	69	1.5%
162	69	1.5%
5228	68	1.5%
22535	66	1.4%
824	64	1.4%
3650	64	1.4%
1688	55	1.2%
15469	53	1.1%
626	52	1.1%
1623	48	1.0%
Other values (752)	4039	86.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	9	0.2%
8	3	0.1%
9	13	0.3%
11	3	0.1%
13	1	< 0.1%
14	5	0.1%
16	6	0.1%
19	38	0.8%
20	23	0.5%
22	2	< 0.1%

Value	Count	Frequency (%)
31887	3	0.1%
31363	2	< 0.1%
31297	6	0.1%
30499	1	< 0.1%
30387	1	< 0.1%
30255	11	0.2%
29983	4	0.1%
29167	3	0.1%
29041	2	< 0.1%
28653	1	< 0.1%

specialization
Categorical

Distinct	358
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Memory size	403.8 KiB

Psicólogo	352
Psiquiatra	152
Ginecólogo	121
Urólogo	108
Traumatólogo	82
Other values (353)	3832

Length

Max length	52
Median length	42
Mean length	13.054444
Min length	6

Characters and Unicode

Total characters	60664
Distinct characters	66
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	80 ?
Unique (%)	1.7%

Sample

1st row	Urólogo
2nd row	Médico clínico
3rd row	Psicólogo
4th row	Neurocirujano
5th row	Psicólogo

Common Values

Value	Count	Frequency (%)
Psicólogo	352	7.6%
Psiquiatra	152	3.3%
Ginecólogo	121	2.6%
Urólogo	108	2.3%
Traumatólogo	82	1.8%
Pediatra	81	1.7%
Cirujano general	81	1.7%
Oftalmólogo	79	1.7%
Dentista	78	1.7%
Dentista - Odontólogo	70	1.5%
Other values (348)	3443	74.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
psicólogo	363	5.7%
cirujano	184	2.9%
dentista	173	2.7%
psiquiatra	155	2.4%
	144	2.3%
médico	142	2.2%
cirurgião	137	2.2%
general	133	2.1%
ginecólogo	127	2.0%
pediatra	119	1.9%
Other values (338)	4653	73.5%

Most occurring characters

Value	Count	Frequency (%)
o	8259	13.6%
i	5328	8.8%
a	4770	7.9%
t	4245	7.0%
r	4106	6.8%
l	3775	6.2%
g	3487	5.7%
e	3465	5.7%
s	2669	4.4%
c	2529	4.2%
Other values (56)	18031	29.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	54972	90.6%
Uppercase Letter	3764	6.2%
Space Separator	1683	2.8%
Dash Punctuation	172	0.3%
Other Punctuation	31	0.1%
Open Punctuation	21	< 0.1%
Close Punctuation	21	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	8259	15.0%
i	5328	9.7%
a	4770	8.7%
t	4245	7.7%
r	4106	7.5%
l	3775	6.9%
g	3487	6.3%
e	3465	6.3%
s	2669	4.9%
c	2529	4.6%
Other values (28)	12339	22.4%

Uppercase Letter

Value	Count	Frequency (%)
P	729	19.4%
O	489	13.0%
C	446	11.8%
N	316	8.4%
D	311	8.3%
G	274	7.3%
U	190	5.0%
M	166	4.4%
T	155	4.1%
E	145	3.9%
Other values (12)	543	14.4%

Other Punctuation

Value	Count	Frequency (%)
&	30	96.8%
,	1	3.2%

Space Separator

Value	Count	Frequency (%)
	1683	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	172	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	21	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	21	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	58736	96.8%
Common	1928	3.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	8259	14.1%
i	5328	9.1%
a	4770	8.1%
t	4245	7.2%
r	4106	7.0%
l	3775	6.4%
g	3487	5.9%
e	3465	5.9%
s	2669	4.5%
c	2529	4.3%
Other values (50)	16103	27.4%

Common

Value	Count	Frequency (%)
	1683	87.3%
-	172	8.9%
&	30	1.6%
(	21	1.1%
)	21	1.1%
,	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	58391	96.3%
None	2273	3.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	8259	14.1%
i	5328	9.1%
a	4770	8.2%
t	4245	7.3%
r	4106	7.0%
l	3775	6.5%
g	3487	6.0%
e	3465	5.9%
s	2669	4.6%
c	2529	4.3%
Other values (43)	15758	27.0%

None

Value	Count	Frequency (%)
ó	1557	68.5%
é	183	8.1%
ã	180	7.9%
á	123	5.4%
í	79	3.5%
ę	53	2.3%
ä	25	1.1%
ç	24	1.1%
ą	18	0.8%
ü	14	0.6%
Other values (3)	17	0.7%

specialization_en
Categorical

Distinct	172
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	359.1 KiB

psychologist	467
dentist	279
gynecologist	229
urologist	205
psychiatrist	182
Other values (167)	3285

Length

Max length	50
Median length	42
Mean length	14.121369
Min length	6

Characters and Unicode

Total characters	65622
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	30 ?
Unique (%)	0.6%

Sample

1st row	urologist
2nd row	clinician
3rd row	psychologist
4th row	neurosurgeon
5th row	psychologist

Common Values

Value	Count	Frequency (%)
psychologist	467	10.0%
dentist	279	6.0%
gynecologist	229	4.9%
urologist	205	4.4%
psychiatrist	182	3.9%
ophthalmologist	138	3.0%
dermatologist	129	2.8%
general surgeon	127	2.7%
orthopedist	117	2.5%
cardiologist	114	2.5%
Other values (162)	2660	57.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
surgeon	530	8.5%
psychologist	503	8.0%
dentist	289	4.6%
gynecologist	229	3.7%
general	223	3.6%
urologist	209	3.3%
psychiatrist	188	3.0%
orthopedist	169	2.7%
specialist	151	2.4%
ophthalmologist	142	2.3%
Other values (153)	3617	57.9%

Most occurring characters

Value	Count	Frequency (%)
o	7646	11.7%
t	7113	10.8%
i	6984	10.6%
s	6027	9.2%
e	4313	6.6%
r	4108	6.3%
g	3769	5.7%
l	3672	5.6%
n	3670	5.6%
a	3485	5.3%
Other values (16)	14835	22.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	64005	97.5%
Space Separator	1616	2.5%
Other Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	7646	11.9%
t	7113	11.1%
i	6984	10.9%
s	6027	9.4%
e	4313	6.7%
r	4108	6.4%
g	3769	5.9%
l	3672	5.7%
n	3670	5.7%
a	3485	5.4%
Other values (14)	13218	20.7%

Space Separator

Value	Count	Frequency (%)
	1616	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	64005	97.5%
Common	1617	2.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	7646	11.9%
t	7113	11.1%
i	6984	10.9%
s	6027	9.4%
e	4313	6.7%
r	4108	6.4%
g	3769	5.9%
l	3672	5.7%
n	3670	5.7%
a	3485	5.4%
Other values (14)	13218	20.7%

Common

Value	Count	Frequency (%)
	1616	99.9%
,	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65622	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	7646	11.7%
t	7113	10.8%
i	6984	10.6%
s	6027	9.2%
e	4313	6.6%
r	4108	6.3%
g	3769	5.7%
l	3672	5.6%
n	3670	5.6%
a	3485	5.3%
Other values (16)	14835	22.6%

city
Categorical

Distinct	807
Distinct (%)	17.4%
Missing	0
Missing (%)	0.0%
Memory size	374.0 KiB

Ciudad de México	69
Warszawa	69
São Paulo	68
Roma	66
Rio de Janeiro	64
Other values (802)	4311

Length

Max length	26
Median length	23
Mean length	9.4540564
Min length	3

Characters and Unicode

Total characters	43933
Distinct characters	84
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	362 ?
Unique (%)	7.8%

Sample

1st row	Neuquén Capital
2nd row	Mendoza Capital
3rd row	Vicente López
4th row	Mendoza Capital
5th row	Neuquén Capital

Common Values

Value	Count	Frequency (%)
Ciudad de México	69	1.5%
Warszawa	69	1.5%
São Paulo	68	1.5%
Roma	66	1.4%
Rio de Janeiro	64	1.4%
Wrocław	55	1.2%
Milano	53	1.1%
Kraków	52	1.1%
Cuauhtémoc	49	1.1%
Belo Horizonte	48	1.0%
Other values (797)	4054	87.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	362	5.5%
são	125	1.9%
ciudad	101	1.5%
san	95	1.4%
rio	90	1.4%
juárez	80	1.2%
méxico	69	1.0%
warszawa	69	1.0%
paulo	68	1.0%
roma	66	1.0%
Other values (930)	5485	83.0%

Most occurring characters

Value	Count	Frequency (%)
a	6153	14.0%
o	3519	8.0%
e	3140	7.1%
i	2715	6.2%
r	2690	6.1%
l	2350	5.3%
n	2190	5.0%
	1963	4.5%
u	1658	3.8%
d	1484	3.4%
Other values (74)	16071	36.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	35806	81.5%
Uppercase Letter	6136	14.0%
Space Separator	1963	4.5%
Other Punctuation	15	< 0.1%
Dash Punctuation	13	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	6153	17.2%
o	3519	9.8%
e	3140	8.8%
i	2715	7.6%
r	2690	7.5%
l	2350	6.6%
n	2190	6.1%
u	1658	4.6%
d	1484	4.1%
t	1409	3.9%
Other values (39)	8498	23.7%

Uppercase Letter

Value	Count	Frequency (%)
C	780	12.7%
M	611	10.0%
S	555	9.0%
P	524	8.5%
B	499	8.1%
G	393	6.4%
T	328	5.3%
R	283	4.6%
J	265	4.3%
L	232	3.8%
Other values (21)	1666	27.2%

Other Punctuation

Value	Count	Frequency (%)
,	9	60.0%
'	6	40.0%

Space Separator

Value	Count	Frequency (%)
	1963	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	41942	95.5%
Common	1991	4.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6153	14.7%
o	3519	8.4%
e	3140	7.5%
i	2715	6.5%
r	2690	6.4%
l	2350	5.6%
n	2190	5.2%
u	1658	4.0%
d	1484	3.5%
t	1409	3.4%
Other values (70)	14634	34.9%

Common

Value	Count	Frequency (%)
	1963	98.6%
-	13	0.7%
,	9	0.5%
'	6	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42313	96.3%
None	1620	3.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	6153	14.5%
o	3519	8.3%
e	3140	7.4%
i	2715	6.4%
r	2690	6.4%
l	2350	5.6%
n	2190	5.2%
	1963	4.6%
u	1658	3.9%
d	1484	3.5%
Other values (46)	14451	34.2%

None

Value	Count	Frequency (%)
ó	328	20.2%
é	280	17.3%
á	237	14.6%
ã	154	9.5%
í	110	6.8%
ł	102	6.3%
ń	93	5.7%
â	51	3.1%
ü	48	3.0%
Ł	43	2.7%
Other values (18)	174	10.7%

fc_price
Real number (ℝ)

Distinct	57
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4311.5293

Minimum	49
Maximum	504201.68
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	49
5-th percentile	49
Q1	195.02
median	199
Q3	999
95-th percentile	24369.75
Maximum	504201.68
Range	504152.68
Interquartile range (IQR)	803.98

Descriptive statistics

Standard deviation	21045.214
Coefficient of variation (CV)	4.8811483
Kurtosis	176.34163
Mean	4311.5293
Median Absolute Deviation (MAD)	150
Skewness	11.23748
Sum	20035677
Variance	4.4290103 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
999	1176	25.3%
195.02	825	17.8%
79	469	10.1%
199	408	8.8%
49	271	5.8%
99	246	5.3%
1599	162	3.5%
299	151	3.2%
67226.89	108	2.3%
391.02	106	2.3%
Other values (47)	725	15.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
49	271	5.8%
69	29	0.6%
79	469	10.1%
99	246	5.3%
129	44	0.9%
149	24	0.5%
169	19	0.4%
195.02	825	17.8%
199	408	8.8%
219	1	< 0.1%

Value	Count	Frequency (%)
504201.68	1	< 0.1%
378151.26	3	0.1%
252100.84	10	0.2%
134453.78	2	< 0.1%
126050.42	7	0.2%
100000	6	0.1%
74789.92	5	0.1%
67226.89	108	2.3%
49579.83	12	0.3%
24369.75	96	2.1%

is_listed
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	40.8 KiB

True	2579
False	2068

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	2579	55.5%
False	2068	44.5%

first_class_profiles
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	17
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.1542931

Minimum	0
Maximum	16
Zeros	542
Zeros (%)	11.7%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	3
95-th percentile	7
Maximum	16
Range	16
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.3050027
Coefficient of variation (CV)	1.0699578
Kurtosis	6.1631635
Mean	2.1542931
Median Absolute Deviation (MAD)	1
Skewness	2.259911
Sum	10011
Variance	5.3130374
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
1	2156	46.4%
2	697	15.0%
0	542	11.7%
3	404	8.7%
4	265	5.7%
5	165	3.6%
6	144	3.1%
7	79	1.7%
8	61	1.3%
9	36	0.8%
Other values (7)	98	2.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	542	11.7%
1	2156	46.4%
2	697	15.0%
3	404	8.7%
4	265	5.7%
5	165	3.6%
6	144	3.1%
7	79	1.7%
8	61	1.3%
9	36	0.8%

Value	Count	Frequency (%)
16	1	< 0.1%
15	10	0.2%
14	6	0.1%
13	7	0.2%
12	16	0.3%
11	22	0.5%
10	36	0.8%
9	36	0.8%
8	61	1.3%
7	79	1.7%

eligible_slots
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	172
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.607274

Minimum	0
Maximum	649
Zeros	81
Zeros (%)	1.7%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	8
Q3	17
95-th percentile	60
Maximum	649
Range	649
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	32.626502
Coefficient of variation (CV)	1.9645911
Kurtosis	80.156677
Mean	16.607274
Median Absolute Deviation (MAD)	6
Skewness	7.1228848
Sum	77174
Variance	1064.4887
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	604	13.0%
2	384	8.3%
3	331	7.1%
5	255	5.5%
4	241	5.2%
6	211	4.5%
9	171	3.7%
7	168	3.6%
8	164	3.5%
10	153	3.3%
Other values (162)	1965	42.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	81	1.7%
1	604	13.0%
2	384	8.3%
3	331	7.1%
4	241	5.2%
5	255	5.5%
6	211	4.5%
7	168	3.6%
8	164	3.5%
9	171	3.7%

Value	Count	Frequency (%)
649	1	< 0.1%
519	1	< 0.1%
481	1	< 0.1%
398	1	< 0.1%
390	1	< 0.1%
383	1	< 0.1%
368	1	< 0.1%
337	1	< 0.1%
304	1	< 0.1%
285	1	< 0.1%

premium
Real number (ℝ)

Distinct	215
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.98838

Minimum	1
Maximum	873
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	11
Q3	24
95-th percentile	80
Maximum	873
Range	872
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	43.508059
Coefficient of variation (CV)	1.892611
Kurtosis	72.30696
Mean	22.98838
Median Absolute Deviation (MAD)	8
Skewness	6.7273811
Sum	106827
Variance	1892.9512
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	507	10.9%
3	285	6.1%
2	272	5.9%
4	242	5.2%
5	191	4.1%
7	173	3.7%
6	170	3.7%
8	146	3.1%
15	141	3.0%
9	133	2.9%
Other values (205)	2387	51.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	507	10.9%
2	272	5.9%
3	285	6.1%
4	242	5.2%
5	191	4.1%
6	170	3.7%
7	173	3.7%
8	146	3.1%
9	133	2.9%
10	118	2.5%

Value	Count	Frequency (%)
873	1	< 0.1%
653	1	< 0.1%
578	1	< 0.1%
467	1	< 0.1%
463	1	< 0.1%
461	1	< 0.1%
449	1	< 0.1%
446	1	< 0.1%
436	1	< 0.1%
408	1	< 0.1%

first_class_limit
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	313.1 KiB

15.0	2627
10.0	2020

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	18588
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10.0
2nd row	10.0
3rd row	10.0
4th row	10.0
5th row	10.0

Common Values

Value	Count	Frequency (%)
15.0	2627	56.5%
10.0	2020	43.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
15.0	2627	56.5%
10.0	2020	43.5%

Most occurring characters

Value	Count	Frequency (%)
0	6667	35.9%
1	4647	25.0%
.	4647	25.0%
5	2627	14.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	13941	75.0%
Other Punctuation	4647	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6667	47.8%
1	4647	33.3%
5	2627	18.8%

Other Punctuation

Value	Count	Frequency (%)
.	4647	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18588	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6667	35.9%
1	4647	25.0%
.	4647	25.0%
5	2627	14.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18588	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6667	35.9%
1	4647	25.0%
.	4647	25.0%
5	2627	14.1%

first_class_goal
Real number (ℝ)

Distinct	15
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.9752529

Minimum	1
Maximum	15
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	5
95-th percentile	15
Maximum	15
Range	14
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.3698512
Coefficient of variation (CV)	1.0992637
Kurtosis	0.87476263
Mean	3.9752529
Median Absolute Deviation (MAD)	1
Skewness	1.4772094
Sum	18473
Variance	19.095599
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
1	2187	47.1%
2	586	12.6%
4	348	7.5%
15	346	7.4%
10	273	5.9%
5	271	5.8%
3	244	5.3%
9	95	2.0%
6	87	1.9%
11	59	1.3%
Other values (5)	151	3.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2187	47.1%
2	586	12.6%
3	244	5.3%
4	348	7.5%
5	271	5.8%
6	87	1.9%
7	32	0.7%
8	14	0.3%
9	95	2.0%
10	273	5.9%

Value	Count	Frequency (%)
15	346	7.4%
14	29	0.6%
13	35	0.8%
12	41	0.9%
11	59	1.3%
10	273	5.9%
9	95	2.0%
8	14	0.3%
7	32	0.7%
6	87	1.9%

available_slots
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	16
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.8287067

Minimum	0
Maximum	15
Zeros	3180
Zeros (%)	68.4%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1.5
95-th percentile	10
Maximum	15
Range	15
Interquartile range (IQR)	1.5

Descriptive statistics

Standard deviation	3.532935
Coefficient of variation (CV)	1.9319309
Kurtosis	2.9122541
Mean	1.8287067
Median Absolute Deviation (MAD)	0
Skewness	1.994463
Sum	8498
Variance	12.481629
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	3180	68.4%
1	305	6.6%
4	168	3.6%
10	115	2.5%
3	114	2.5%
2	112	2.4%
9	111	2.4%
5	105	2.3%
7	81	1.7%
6	75	1.6%
Other values (6)	281	6.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3180	68.4%
1	305	6.6%
2	112	2.4%
3	114	2.5%
4	168	3.6%
5	105	2.3%
6	75	1.6%
7	81	1.7%
8	57	1.2%
9	111	2.4%

Value	Count	Frequency (%)
15	34	0.7%
14	20	0.4%
13	43	0.9%
12	62	1.3%
11	65	1.4%
10	115	2.5%
9	111	2.4%
8	57	1.2%
7	81	1.7%
6	75	1.6%

median_active_months
Real number (ℝ)

MISSING ZEROS

Distinct	118
Distinct (%)	2.9%
Missing	542
Missing (%)	11.7%
Infinite	0
Infinite (%)	0.0%
Mean	19.062607

Minimum	0
Maximum	69
Zeros	199
Zeros (%)	4.3%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0.6
Q1	6
median	14
Q3	28
95-th percentile	54
Maximum	69
Range	69
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	16.359303
Coefficient of variation (CV)	0.85818816
Kurtosis	-0.12334574
Mean	19.062607
Median Absolute Deviation (MAD)	9
Skewness	0.95446128
Sum	78252
Variance	267.62681
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	199	4.3%
10	156	3.4%
2	148	3.2%
6	143	3.1%
54	141	3.0%
3	137	2.9%
8	121	2.6%
7	118	2.5%
9	116	2.5%
14	112	2.4%
Other values (108)	2714	58.4%
(Missing)	542	11.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	199	4.3%
0.5	7	0.2%
1	109	2.3%
1.5	5	0.1%
2	148	3.2%
2.5	13	0.3%
3	137	2.9%
3.5	24	0.5%
4	108	2.3%
4.5	16	0.3%

Value	Count	Frequency (%)
69	1	< 0.1%
68	1	< 0.1%
59.5	1	< 0.1%
59	61	1.3%
58	5	0.1%
57.5	2	< 0.1%
57	3	0.1%
56	55	1.2%
55	7	0.2%
54	141	3.0%

traffic_x
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	1855
Distinct (%)	39.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	939.41166

Minimum	0
Maximum	30988
Zeros	48
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	0
5-th percentile	16
Q1	126
median	394
Q3	1051
95-th percentile	3740.3
Maximum	30988
Range	30988
Interquartile range (IQR)	925

Descriptive statistics

Standard deviation	1688.225
Coefficient of variation (CV)	1.7971088
Kurtosis	57.56996
Mean	939.41166
Median Absolute Deviation (MAD)	322
Skewness	5.8006057
Sum	4365446
Variance	2850103.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	48	1.0%
20	31	0.7%
6	28	0.6%
12	28	0.6%
4	26	0.6%
24	26	0.6%
30	22	0.5%
8	20	0.4%
18	20	0.4%
32	20	0.4%
Other values (1845)	4378	94.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	48	1.0%
1	2	< 0.1%
2	18	0.4%
3	3	0.1%
4	26	0.6%
5	7	0.2%
6	28	0.6%
7	2	< 0.1%
8	20	0.4%
9	3	0.1%

Value	Count	Frequency (%)
30988	1	< 0.1%
24028	1	< 0.1%
21900	1	< 0.1%
21730	1	< 0.1%
20072	1	< 0.1%
18164	1	< 0.1%
17568	1	< 0.1%
17285	1	< 0.1%
15100	1	< 0.1%
14234	1	< 0.1%

bookable_hours_month
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	1857
Distinct (%)	40.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1201.9884

Minimum	0
Maximum	90136
Zeros	685
Zeros (%)	14.7%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	56
median	298
Q3	1018
95-th percentile	4746
Maximum	90136
Range	90136
Interquartile range (IQR)	962

Descriptive statistics

Standard deviation	3545.5071
Coefficient of variation (CV)	2.9497016
Kurtosis	179.63769
Mean	1201.9884
Median Absolute Deviation (MAD)	297
Skewness	10.741296
Sum	5585640
Variance	12570621
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	685	14.7%
2	16	0.3%
1	14	0.3%
122	13	0.3%
75	13	0.3%
6	13	0.3%
4	13	0.3%
22	13	0.3%
87	12	0.3%
21	12	0.3%
Other values (1847)	3843	82.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	685	14.7%
1	14	0.3%
2	16	0.3%
3	10	0.2%
4	13	0.3%
5	12	0.3%
6	13	0.3%
7	6	0.1%
8	9	0.2%
9	7	0.2%

Value	Count	Frequency (%)
90136	1	< 0.1%
71670	1	< 0.1%
64858	1	< 0.1%
54226	1	< 0.1%
45741	1	< 0.1%
43588	1	< 0.1%
42360	1	< 0.1%
36284	1	< 0.1%
36170	1	< 0.1%
34948	1	< 0.1%

active_calendars
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	221
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.185066

Minimum	0
Maximum	1096
Zeros	663
Zeros (%)	14.3%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	8
Q3	20
95-th percentile	79
Maximum	1096
Range	1096
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	51.008058
Coefficient of variation (CV)	2.4077366
Kurtosis	119.91957
Mean	21.185066
Median Absolute Deviation (MAD)	7
Skewness	8.7840952
Sum	98447
Variance	2601.822
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	663	14.3%
2	339	7.3%
3	268	5.8%
1	253	5.4%
4	217	4.7%
7	178	3.8%
5	175	3.8%
6	165	3.6%
8	153	3.3%
11	129	2.8%
Other values (211)	2107	45.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	663	14.3%
1	253	5.4%
2	339	7.3%
3	268	5.8%
4	217	4.7%
5	175	3.8%
6	165	3.6%
7	178	3.8%
8	153	3.3%
9	122	2.6%

Value	Count	Frequency (%)
1096	1	< 0.1%
1001	1	< 0.1%
788	1	< 0.1%
715	1	< 0.1%
684	1	< 0.1%
645	1	< 0.1%
571	1	< 0.1%
569	1	< 0.1%
537	1	< 0.1%
476	1	< 0.1%

avg_price
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	1236
Distinct (%)	26.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3727.875

Minimum	0
Maximum	189473
Zeros	827
Zeros (%)	17.8%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	66
median	237
Q3	685
95-th percentile	1571.7
Maximum	189473
Range	189473
Interquartile range (IQR)	619

Descriptive statistics

Standard deviation	18948.799
Coefficient of variation (CV)	5.083003
Kurtosis	43.74238
Mean	3727.875
Median Absolute Deviation (MAD)	198
Skewness	6.4913164
Sum	17323435
Variance	3.59057 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	827	17.8%
58	24	0.5%
56	22	0.5%
250	20	0.4%
500	20	0.4%
62	19	0.4%
265	19	0.4%
275	19	0.4%
67	19	0.4%
53	19	0.4%
Other values (1226)	3639	78.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	827	17.8%
2	1	< 0.1%
3	2	< 0.1%
5	1	< 0.1%
6	2	< 0.1%
12	1	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
15	1	< 0.1%
19	3	0.1%

Value	Count	Frequency (%)
189473	1	< 0.1%
188070	1	< 0.1%
180000	1	< 0.1%
171916	1	< 0.1%
170875	1	< 0.1%
169557	1	< 0.1%
163636	1	< 0.1%
162500	1	< 0.1%
162065	1	< 0.1%
160000	1	< 0.1%

admin_bookings
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	1505
Distinct (%)	32.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	764.32343

Minimum	0
Maximum	82873
Zeros	785
Zeros (%)	16.9%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	25
median	196
Q3	629
95-th percentile	2815.5
Maximum	82873
Range	82873
Interquartile range (IQR)	604

Descriptive statistics

Standard deviation	2556.0134
Coefficient of variation (CV)	3.3441515
Kurtosis	329.16325
Mean	764.32343
Median Absolute Deviation (MAD)	196
Skewness	14.37708
Sum	3551811
Variance	6533204.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	785	16.9%
1	42	0.9%
2	20	0.4%
7	20	0.4%
9	20	0.4%
25	19	0.4%
10	18	0.4%
3	17	0.4%
6	16	0.3%
12	16	0.3%
Other values (1495)	3674	79.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	785	16.9%
1	42	0.9%
2	20	0.4%
3	17	0.4%
4	16	0.3%
5	16	0.3%
6	16	0.3%
7	20	0.4%
8	16	0.3%
9	20	0.4%

Value	Count	Frequency (%)
82873	1	< 0.1%
56173	1	< 0.1%
44331	1	< 0.1%
35028	1	< 0.1%
30766	1	< 0.1%
30660	1	< 0.1%
30083	1	< 0.1%
29745	1	< 0.1%
25769	1	< 0.1%
24634	1	< 0.1%

user_bookings
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	727
Distinct (%)	15.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	175.93673

Minimum	0
Maximum	12297
Zeros	648
Zeros (%)	13.9%
Negative	0
Negative (%)	0.0%
Memory size	72.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7
median	37
Q3	134
95-th percentile	726.7
Maximum	12297
Range	12297
Interquartile range (IQR)	127

Descriptive statistics

Standard deviation	544.3772
Coefficient of variation (CV)	3.0941645
Kurtosis	135.03852
Mean	175.93673
Median Absolute Deviation (MAD)	37
Skewness	9.6771495
Sum	817578
Variance	296346.54
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	648	13.9%
1	109	2.3%
2	90	1.9%
3	80	1.7%
5	77	1.7%
6	70	1.5%
4	66	1.4%
11	64	1.4%
7	64	1.4%
10	58	1.2%
Other values (717)	3321	71.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	648	13.9%
1	109	2.3%
2	90	1.9%
3	80	1.7%
4	66	1.4%
5	77	1.7%
6	70	1.5%
7	64	1.4%
8	58	1.2%
9	41	0.9%

Value	Count	Frequency (%)
12297	1	< 0.1%
9861	1	< 0.1%
8506	1	< 0.1%
8189	1	< 0.1%
7156	1	< 0.1%
6853	1	< 0.1%
6835	1	< 0.1%
6268	1	< 0.1%
6247	1	< 0.1%
6025	1	< 0.1%

Auto

Heatmap
Table

	specialization_id	city_id	fc_price	first_class_profiles	eligible_slots	premium	first_class_goal	available_slots	median_active_months	traffic_x	bookable_hours_month	active_calendars	avg_price	admin_bookings	user_bookings	country_code	is_listed	first_class_limit
specialization_id	1.000	0.040	0.183	0.147	0.007	-0.015	0.045	-0.061	0.082	0.186	0.062	0.072	0.113	0.085	0.095	0.545	0.327	0.545
city_id	0.040	1.000	0.065	0.075	-0.010	-0.056	-0.030	-0.081	0.050	0.044	0.036	0.051	0.062	0.006	-0.038	0.859	0.450	0.883
fc_price	0.183	0.065	1.000	0.321	0.036	-0.037	0.093	-0.148	0.211	0.182	0.160	0.058	0.587	0.138	0.119	0.427	0.089	0.200
first_class_profiles	0.147	0.075	0.321	1.000	0.431	0.338	0.599	-0.006	0.088	0.445	0.480	0.507	0.267	0.438	0.417	0.075	0.454	0.048
eligible_slots	0.007	-0.010	0.036	0.431	1.000	0.935	0.782	0.669	-0.039	0.476	0.633	0.734	0.132	0.552	0.598	0.056	0.154	0.117
premium	-0.015	-0.056	-0.037	0.338	0.935	1.000	0.812	0.769	-0.043	0.467	0.556	0.673	0.045	0.532	0.601	0.057	0.130	0.112
first_class_goal	0.045	-0.030	0.093	0.599	0.782	0.812	1.000	0.688	0.023	0.439	0.497	0.591	0.077	0.472	0.546	0.154	0.338	0.354
available_slots	-0.061	-0.081	-0.148	-0.006	0.669	0.769	0.688	1.000	-0.077	0.232	0.301	0.407	-0.127	0.282	0.388	0.153	0.161	0.243
median_active_months	0.082	0.050	0.211	0.088	-0.039	-0.043	0.023	-0.077	1.000	0.112	-0.018	-0.025	0.078	0.054	0.010	0.211	0.441	0.299
traffic_x	0.186	0.044	0.182	0.445	0.476	0.467	0.439	0.232	0.112	1.000	0.341	0.499	0.196	0.471	0.630	0.091	0.175	0.133
bookable_hours_month	0.062	0.036	0.160	0.480	0.633	0.556	0.497	0.301	-0.018	0.341	1.000	0.884	0.445	0.720	0.582	0.013	0.107	0.000
active_calendars	0.072	0.051	0.058	0.507	0.734	0.673	0.591	0.407	-0.025	0.499	0.884	1.000	0.357	0.716	0.725	0.033	0.152	0.083
avg_price	0.113	0.062	0.587	0.267	0.132	0.045	0.077	-0.127	0.078	0.196	0.445	0.357	1.000	0.354	0.334	0.431	0.064	0.237
admin_bookings	0.085	0.006	0.138	0.438	0.552	0.532	0.472	0.282	0.054	0.471	0.720	0.716	0.354	1.000	0.689	0.029	0.063	0.029
user_bookings	0.095	-0.038	0.119	0.417	0.598	0.601	0.546	0.388	0.010	0.630	0.582	0.725	0.334	0.689	1.000	0.087	0.107	0.103
country_code	0.545	0.859	0.427	0.075	0.056	0.057	0.154	0.153	0.211	0.091	0.013	0.033	0.431	0.029	0.087	1.000	0.389	0.999
is_listed	0.327	0.450	0.089	0.454	0.154	0.130	0.338	0.161	0.441	0.175	0.107	0.152	0.064	0.063	0.107	0.389	1.000	0.089
first_class_limit	0.545	0.883	0.200	0.048	0.117	0.112	0.354	0.243	0.299	0.133	0.000	0.083	0.237	0.029	0.103	0.999	0.089	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	country_code	specialization_id	city_id	specialization	specialization_en	city	fc_price	is_listed	first_class_profiles	eligible_slots	premium	first_class_limit	first_class_goal	median_active_months	traffic_x	bookable_hours_month	active_calendars	avg_price	admin_bookings	user_bookings
0	ar	72	1100	Urólogo	urologist	Neuquén Capital	2499.0	TRUE	1.0	1.0	1.0	10.0	1.0	8.0	408.0	8.0	2.0	0.0	0.0	37.0
1	ar	16	1042	Médico clínico	clinician	Mendoza Capital	9990.0	TRUE	1.0	1.0	1.0	10.0	1.0	51.0	227.0	75.0	3.0	0.0	109.0	63.0
2	ar	62	479	Psicólogo	psychologist	Vicente López	2499.0	TRUE	1.0	1.0	3.0	10.0	1.0	0.0	126.0	122.0	2.0	0.0	196.0	22.0
3	ar	45	1042	Neurocirujano	neurosurgeon	Mendoza Capital	9990.0	TRUE	1.0	0.0	1.0	10.0	1.0	53.0	126.0	0.0	0.0	0.0	0.0	0.0
4	ar	62	1100	Psicólogo	psychologist	Neuquén Capital	4999.0	TRUE	1.0	1.0	3.0	10.0	1.0	49.0	957.0	3.0	1.0	3250.0	101.0	0.0
5	ar	65	1080	Psiquiatra	psychiatrist	Oberá	12990.0	TRUE	1.0	0.0	1.0	10.0	1.0	53.0	21.0	0.0	0.0	0.0	67.0	0.0
6	ar	62	35	Psicólogo	psychologist	Bahía Blanca	9990.0	TRUE	2.0	4.0	5.0	10.0	2.0	28.0	864.0	160.0	4.0	0.0	65.0	46.0
7	ar	55	1522	Traumatólogo	orthopaedic surgeon	San Miguel de Tucumán	9990.0	TRUE	1.0	2.0	2.0	10.0	1.0	53.0	617.0	86.0	2.0	0.0	0.0	49.0
8	ar	72	262	Urólogo	urologist	Lanús Oeste	2499.0	FALSE	1.0	1.0	1.0	10.0	1.0	7.0	2.0	17.0	3.0	875.0	4.0	25.0
9	ar	48	1522	Nutricionista	nutritionist	San Miguel de Tucumán	9990.0	TRUE	1.0	2.0	2.0	10.0	1.0	40.0	143.0	122.0	2.0	33.0	13.0	30.0

	country_code	specialization_id	city_id	specialization	specialization_en	city	fc_price	is_listed	first_class_profiles	eligible_slots	premium	first_class_limit	first_class_goal	available_slots	median_active_months	traffic_x	bookable_hours_month	active_calendars	avg_price	admin_bookings	user_bookings
4771	pl	102	2843	lekarz wykonujący zabiegi medycyny estetycznej	specialist in aesthetic medicine	Rudy	199.0	FALSE	1.0	1.0	1.0	15.0	1.0	0.0	4.0	0.0	0.0	0.0	0.0	0.0	0.0
4772	pl	102	606	lekarz wykonujący zabiegi medycyny estetycznej	specialist in aesthetic medicine	Kościerzyna	199.0	FALSE	1.0	1.0	1.0	15.0	1.0	0.0	2.0	12.0	0.0	0.0	0.0	0.0	0.0
4773	pl	93	248	psycholog	psychologist	Dąbrowa Górnicza	299.0	TRUE	2.0	9.0	10.0	15.0	2.0	0.0	15.0	1186.0	123.0	8.0	184.0	804.0	79.0
4774	pl	134	1688	protetyk stomatologiczny	prosthetist	Wrocław	199.0	FALSE	1.0	1.0	1.0	15.0	1.0	0.0	6.0	412.0	0.0	0.0	0.0	0.0	1.0
4775	pl	152	236	psychoterapeuta	psychotherapist	Człuchów	199.0	FALSE	1.0	2.0	2.0	15.0	1.0	0.0	0.0	14.0	18.0	2.0	150.0	46.0	13.0
4776	pl	84	1710	fizjoterapeuta	physiotherapist	Zabrze	299.0	TRUE	1.0	4.0	4.0	15.0	1.0	0.0	38.0	314.0	297.0	6.0	148.0	301.0	249.0
4777	pl	61	1710	internista	internist	Zabrze	199.0	FALSE	0.0	8.0	15.0	15.0	1.0	1.0	NaN	76.0	20.0	4.0	181.0	9.0	14.0
4778	pl	103	1250	stomatolog	dentist	Ruda Śląska	299.0	TRUE	1.0	13.0	17.0	15.0	1.0	0.0	69.0	559.0	377.0	11.0	333.0	937.0	259.0
4779	pl	184	1710	fizjoterapeuta dziecięcy	pediatric physiotherapist	Zabrze	199.0	FALSE	1.0	1.0	1.0	15.0	1.0	0.0	9.0	38.0	0.0	0.0	0.0	0.0	0.0
4780	pl	81	1640	psychiatra	psychiatrist	Wieliczka	299.0	TRUE	1.0	1.0	1.0	15.0	1.0	0.0	46.0	168.0	0.0	0.0	0.0	0.0	0.0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks